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About Atono
Atono unifies planning, deployment, and measurement for product teams in one workflow intelligence platform. Its MCP server lets developers stay in Cursor or other AI dev tools while accessing stories, acceptance criteria, bugs, and feature flags — helping teams stay in context and move faster.
Atono's
Key Features
- AI-assisted workflows for story refinement, summaries, sizing, triage, and coordination
- Unified workspace for planning, deployment, and measurement
- Feature flags built into the workflow
- Usage analytics & insights directly connected to stories
- Full workflow context accessible to AI (stories, flags, analytics)
Use Cases
- Product teams that need unified planning –> deployment –> measurement
- Developers using AI tools who want to update workflows without leaving their IDE
- Engineering managers who want accurate visibility without manual updates
- Teams adopting agent workflows via MCP
- AI-driven coordination of story movement, documentation, and assignments
- Replacing multiple siloed tools (PM, flags, analytics) with a single workflow platform
Key Features
AI-assisted workflows for story refinement, summaries, sizing, triage, and coordination
Unified workspace for planning, deployment, and measurement
Feature flags built into the workflow
Usage analytics & insights directly connected to stories
Full workflow context accessible to AI (stories, flags, analytics)
Best For
Product teams that need unified planning –> deployment –> measurementDevelopers using AI tools who want to update workflows without leaving their IDEEngineering managers who want accurate visibility without manual updatesTeams adopting agent workflows via MCPAI-driven coordination of story movement, documentation, and assignmentsReplacing multiple siloed tools (PM, flags, analytics) with a single workflow platform
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